Browsing by Author "Gouissem, A."
Now showing items 1-20 of 34
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A sparsity-aware approach for NBI estimation and mitigation in large cognitive radio networks
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)Underlay cognitive networks should follow strict interference thresholds to operate in parallel with primary networks. This constraint limits their transmission power and eventually the coverage area. Therefore, in this ... -
A Weighted Machine Learning-Based Attacks Classification to Alleviating Class Imbalance
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)The Industrial Internet of Things (IIoT) has become very popular in recent years. However, IIoT is still an attractive and vulnerable target for attackers to exploit and experiment with different types of attacks. To ... -
Combating jamming attacks in multi-channel IoT networks using game theory
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Jamming attacks are among the most widely used techniques to block and disturb legitimate communications. Several techniques are used in the literature to combat these attacks. However, most of them either require the ... -
Combating jamming attacks in multi-channel IoT networks using game theory
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Jamming attacks are among the most widely used techniques to block and disturb legitimate communications. Several techniques are used in the literature to combat these attacks. However, most of them either require the ... -
Efficient techniques for energy saving in data center networks
( Elsevier B.V. , 2018 , Article)Data centers are constructed with a huge number of network devices to support the expanding cloud based services. These devices are used to achieve the highest performance in case of full utilization of the network. However, ... -
Exploiting Traffic Correlation Towards Energy Saving in Data Centers
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)Many proposed data center architectures are constructed with a huge number of network devices in order to support the increasing cloud based services. These devices are used to achieve the highest performance in case of ... -
Federated Learning Stability Under Byzantine Attacks
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)Federated Learning (FL) is a machine learning approach that enables private and decentralized model training. Although FL has been shown to be very useful in several applications, its privacy constraints cause a lack of ... -
Full-Duplex Amplify-and-Forward Relaying under I/Q Imbalance
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)A major performance limiter in amplify-and-forward (AF) full-duplex (FD) relaying is the high level of residual self-interference (SI) due to the imperfect estimation of the effective self-interfering channel. One primary ... -
Hybrid Full-Duplex and Alternate Multiple Relay Selection and Beamforming in AF Cooperative Networks
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Article)In this paper, multiple relay selection and beamforming techniques are applied to a dual-hop full-duplex (FD) amplify-and-forward relaying network. We show that our proposed techniques allow the selection to be adaptive ... -
Hybrid Physical Layer Security for Passive RFID Communication
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Thanks to its low cost, small weight and energy efficiency, passive radio frequency identification (RFID) backscatter communications systems have attracted a lot of attention in several application fields. However, such ... -
Hybrid Physical Layer Security for Passive RFID Communication
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Thanks to its low cost, small weight and energy efficiency, passive radio frequency identification (RFID) backscatter communications systems have attracted a lot of attention in several application fields. However, such ... -
IoT Anti-Jamming Strategy Using Game Theory and Neural Network
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)The internet of things (IoT) is one of the most exposed networks to attackers due to its widespread and its heterogeneity. In such networks, jamming attacks are widely used by malicious users to compromise the private and ... -
IoT Anti-Jamming Strategy Using Game Theory and Neural Network
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)The internet of things (IoT) is one of the most exposed networks to attackers due to its widespread and its heterogeneity. In such networks, jamming attacks are widely used by malicious users to compromise the private and ... -
Iterative per Group Feature Selection for Intrusion Detection
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Network security is an critical subject in any distributed network. Recently, machine learning has proven their efficiency for intrusion detection. By using a comprehensive dataset with multiple attack types, a well-trained ... -
Machine Learning Based Cloud Computing Anomalies Detection
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Recently, machine learning algorithms have been proposed to design new security systems for anomalies detection as they exhibit fast processing with real-time predictions. However, one of the major challenges in machine ... -
Machine-Learning Based Relay Selection in AF Cooperative Networks
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)With the significant increase of wireless network nodes and traffic load in recent years, especially in the emerging internet-of-things (IoT) and vehicular networks, the design of a fast adaptive relay selection algorithm ... -
Maximum achievable throughput and interference mitigation for SUN in coexistence with WLAN
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)An optimum packet length selection scheme to maximize the throughput of a smart utility network (SUN) is introduced under wireless local area network (WLAN) interference system. The traditional and the investigated segmented ... -
Novel selective OFDM-based cooperative techniques for multi-hop systems
( Elsevier B.V. , 2015 , Article)In multi-hop systems, the theoretical outage probabilities and diversity orders of novel Orthogonal Frequency Division Multiplexing (OFDM) based Decode and Forward (DF) cooperative techniques are derived for different ... -
On the Performance of Tactical Communication Interception Using Military Full Duplex Radios
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)Advances in the design of Full-Duplex (FD) transceivers with low residual Self-Interference (SI) levels has led to their deployment in various wireless communication applications. One promising field that FD transceivers ... -
Optimized Selective OFDMA in multihop network
( IEEE , 2012 , Conference Paper)Selective OFDMA is a powerfull relaying technique with subcarrier based selection. This scheeme has a high potential to considerably improve the performance of cooperative OFDM systems. However, in practice, the implementation ...
